AbbVie (NYSE:ABBV) is a global, research-based biopharmaceutical company formed in 2013 following separation from Abbott Laboratories. The company's mission is to use its expertise, dedicated people and unique approach to innovation to develop and market advanced therapies that address some of the world's most complex and serious diseases. AbbVie employs approximately 30,000 people worldwide and markets medicines in more than 170 countries.

AbbVie Redwood City, California, USA
Feb 28, 2018
AbbVie Redwood City (ABR) is AbbVie’s Center of Innovation in Oncology Research and Development, located in Redwood City, CA.  Join ABR for our 2018 Experiential Summer Intern Program! Gain hands-on industry experience, work with a great team, and meet other motivated, science-oriented college students like yourself.   The program runs for 12 weeks and has two sessions, one starting at the end of May (semester system) or early June (quarter system).  Due to the condensed duration of the program, we require all Interns to be available for the entire 12-week period in one or the other session. This is a paid internship. Summer Interns will participate in activities to learn pharmaceutical development and will present their work at a site-wide Poster Session at the end of their assignment.  The ABR Oncology site focuses on Immuno‐Oncology (I‐O), which is the study of the activation of the immune system to recognize and eliminate cancer cells.  We are hiring for multiple Summer Intern positions that span several groups and require candidates with the following elements:  Eager to learn different aspects of the drug development business, and how it applies to making novel cancer drugs Prepared to work in a well-supported environment, with access to the tools, technologies and expertise necessary for success. Great interpersonal and communication skills  The Statistical Science Internship Program is focused on providing students with robust projects. You’ll do meaningful statistic research work that has a real impact on our business and patients worldwide in the following areas (but not limited to):  Statistical methodologies for the first-in-human clinical trial of oncology drugs Bayesian decision rules in the clinical decision making New clinical trial paradigms (e.g. umbrella and basket trials) for early oncology development The impact of Non-proportional hazard assumption on the trial design for the immune oncology drugs  Qualifications:   Basic Requirements Strong academic performance in mathematics, statistics or biostatistics.  Minimum cumulative GPA of 3.0 (4.0 Scale) Enrolled in an graduate level program at an accredited university Completed at least 1 year of graduate level studies prior to internship experience, including survival analysis and/or Bayesian inference methodology Return to university for at least 1 semester post-internship Proficiency in SAS and R programming Preferred Requirements        Demonstrated good interpersonal skills Demonstrated oral and written communication skills Equal Opportunity Employer Minorities/Women/Veterans/Disabled